#!/usr/bin/env python import json import webprocess import yate #names = webprocess.get_name_from_store() names = webprocess.get_namesID_from_store() print(yate.start_response('application/json')) print(json.dumps(sorted(names)))
#!/usr/bin/env python import webprocess import yate #Due to the sqlite solution for storage, no need file handle anymore #import glob import cgitb cgitb.enable() #data_files = glob.glob("data/*.txt") #ref_datas = webprocess.put_to_store(data_files) ref_datas = webprocess.get_namesID_from_store() print(yate.start_response()) print(yate.include_header("List of Data")) print(yate.start_form("generate_timing_data.py")) print(yate.para("Select an object from below: ")) for each_ref_data in ref_datas: #print(yate.radio_button("which_athlete", ref_datas[each_ref_data].name)) print(yate.radio_button_id("which_athlete", each_ref_data[0],each_ref_data[1])) print(yate.end_form("Select")) print(yate.include_footer({"Home":"/index.html"}))